Resources

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Hume Features – Actions, Predefined Queries

Run complex intelligence analysis with ease using Hume Actions – customised queries that offer the full power of Neo4j’s Cypher query language. With a single click, unlock answers to investigative …

  • Videos
  • Graph Technology

NODES2022 – Building a Neo4j/Python OGM

Estelle Scifo is a Machine Learning Engineer at GraphAware and presented at NODES2022. Leverage Cypher map projections and Python dynamic typing to build an Object Graph Mapper for Neo4j. In …

  • Videos
  • Graph Technology
  • GraphAware Hume

NODES2022 – Temporal Graph Analysis

Fabio Montagna is Lead Machine Learning Engineer at GraphAware and presented Temporal Graph Analysis at NODES2022. In this session, we’ll share our experience with horizon scanning over a graph of …

  • Videos
  • Graph Technology

NODES2022 – Neo4j With Docker and Docker Compose Deep Dive

Christophe Willemsen, CTO at GraphAware, spoke on NODES2022 about using Neo4j with Docker and Docker Compose, presented tips and tricks on basic usage, gave an explanation of the Docker image …

  • Videos
  • Graph Technology

NODES2022 – Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge

Federica Ventruto and Alessia Melania Lonoce are Junior Data Scientists at GraphAware who spoke at NODES2022. Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. …

  • Videos
  • Graph Technology

NODES2022 – Data Management with Knowledge Graphs Bringing Archives to Life

Vlasta Kůs is Lead Data Scientist at GraphAware and presented at NODES2022. Public archives contain incredible amount of knowledge. In this session, we’ll cover a real use case of building …